MiriamEsteve/EAT: Efficiency Analysis Trees

Functions are provided to determine production frontiers and technical efficiency measures through non-parametric techniques based upon regression trees. The package includes code for estimating radial input, output, directional and additive measures, plotting graphical representations of the scores and the production frontiers by means of trees, and determining rankings of importance of input variables in the analysis. Additionally, an adaptation of Random Forest by a set of individual Efficiency Analysis Trees for estimating technical efficiency is also included. More details in: <doi:10.1016/j.eswa.2020.113783>.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.1.0
URL https://efficiencytools.wordpress.com/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("MiriamEsteve/EAT")
MiriamEsteve/EAT documentation built on April 18, 2021, 1:08 a.m.